Tag Archive for 'network'

The Dynamics of Network Governance

It’s been a good year since the last post on the organization of strategic alliances. Anyone outside academia would have thought that the project is dead. But insiders know, research takes patience. Backstage we’ve submitted our paper to this year’s 27th EGOS Colloquium in Gothenburg. Here’s the abstract:

Management science and organization theory distinguish different modes of network governance by a number of characteristics, such as the number of network participants, the degree of network heterogeneity, the level of relationship uncertainty, and the complexity of interdependent activities. The recent literature proposes that the governance of networks evolves in a predictable pattern from shared to brokered governance. In this paper, we introduce an additional mode of network governance: the modular mode. Relying on a three-year longitudinal network analysis of the Open Handset Alliance, a network of 80 firms developing Android, the leading operating system for mobile devices, we show how the modular mode shapes the dynamics of network governance.

Now we’re looking for friendly reviews. Anyone?

WikiLeaks and the Power of Networks

In this blog entry I try to examine some of the motivation behind “The Leak”. It’s just a thought experiment and claims no validity.

Recently, a manifesto called Conspiracy as Governance appeared in the internet’s archives. New York Times and other media ascribed the paper to Wikileaks founder Julian Assange, published in his blog iq.org in 2006. We assume that this information is correct. In this essay, Assange referred to political systems as conspiracies. In his eyes, the anaolgy is justified because every governance regime restricts knowledge (or information) to certain members of the very same regime. And so do conspiracies.

A part of the analogy can be considered as fact, since all institutions are constituted by certain rules of communication that restrict information flows in some circumstances and enable them in others. Adherence to this information regulation reproduces the governance regime, Assange continues. Without explicitly mentioning, one can see Luhmann’s (1995) view of autopoietic (e.g., closed and self reproducing) systems, constituted by communication. Also Foucault’s (1980) assumption of ontological entity between knowledge and power can be found in Assanges statements: people execute power by setting fields of knowledge – by deciding what information is right and which is wrong, who’s to generate and bear “true” knowledge and who’s not.

It is this power that Assange promises to undermine – and I try to illustrate how.

In “Conspiracy as Governance”, Assange uses network terminology (nodes, ties, weight) to describe actors and secret communication within a conspiracy. To destroy any network, he continues, one can either eliminate nodes (here: actors), or one can weaken the ties between nodes (here: classified information flows between the actors). “Traditional” revolutionary movements as well as public authorities try to eliminate – sometimes in the very sense of that word – key actors from a specific target network. Wikileaks tries another way. It attempts to destroy the network by weakening the ties, cutting of classified information flows by leaking restricted information. Parts of the network collapse, thus the knowledge field and its powers diminish. Similar things happen in surveillance – only without broadcasting the information all over the internet.

For illustration purpose, I’ve chosen a random network and modeled both described effects. Let’s assume the first graphic is the basic “conspiracy” or “regime” before the “attack”. In the second graphic, most central actors (nodes with highest closeness) were eliminated. Isolated actors, whose only connection to the conspiracy were through central actors, were also removed. One can see that the same network is looking “less dense” – the conspiracy regime is weakened. The third graphic shows the “Wiki-way”: the effect when secret information is leaked. Weak ties with little (formerly) undisclosed information flows are deleted. Isolates, e.g. members that participated only in few secret communications, were also removed. In this example, the network is barely recognizable any more. Finally, in Graphic 4, formerly deleted isolates are visible again.

This “network” looks like self determination for many actors. It looks like anarchy as organizing mechanism.

Don’t you think?

But it’s just an illustration.

References:

  • Foucault, M. (1980): Power/Knowledge. Selected interviews and other writings 1972-1977. New York: Pantheon.
  • Luhmann, N. (1995): Social Systems. Stanford: Stanford University Press.

Interorganizational Collaboration: Evidence from Patent Data

Friday afternoon, the perfect time to put on your cheerful research face, stretch those programming fingers, and dig deep into some data. (I recommend some Bebop to hum along to, but that’s just me.) Today on the menu: Freshly served patent data from your friendly neighborhood European Patent Office, just the right taste to find interorganizational collaboration.

So, here’s what I did: I downloaded some weekly EBD patent data, briefly glanced at the EBD Quick Guide explaining the XML structure, fired up my trusty Ruby, and pulled the below collaboration networks for this year’s weeks 42 through 47.

Vertices are organizations, edges are jointly filed patent applications. See the patterns emerge? Now, if I could only get my hands on the entire data from 1998 until now. It’s only 1180 Euro, maybe I should start saving.

The Organization of War

Every once in a while, some interesting data is put on the Internet that organization studies just eat up. Back in 2004, for example, the Enron e-mail dataset provided a unique chance to study the downfall of a company as brought on by its accounting malpractice (a.k.a. fraud).

This week marks a similarly interesting case, the leak of 76,911 secret US military reports by WikiLeaks, now known as the Kabul War Diary. The data has already been taking apart by The New York Times, The Guardian, and Der Spiegel, but scientist (e.g., Drew Conway over at Zero Intelligence Agents) are only beginning to engulf themselves in the data.

With a particular interest in the communicative constitution of organization, I dove into the data myself and dug up what I deem to be the organization of war. Take a look at the below graph.

The Organization of the Afghan War

The 200+ vertices represent military units and the 600+ edges represent communication between them. A short note, the reports feature more than 1,500 units, but I got rid of the isolates. Moreover, I assume communication to take place between units if these are at the same time in the same place. All of this information is in the reports, which “need to answer the critical questions: Who, When, Where, What, With whom, by what Means and Why” (WikiLeaks, 2010).

In addition to the graph, I pulled some quick network measures out of the magic R hat:

degree betweenness closeness
A SIGACTS MANAGER 0.743119266 0.598042676 0.03356428
CJTF-82 0.23853211 0.372130537 0.033369049
DRUID – ISAF 0.165137615 0.048233629 0.032727819
- 0.146788991 0.052302377 0.032708177
CJSOTF-A 0.146788991 0.044388154 0.03270327
205th RCAG 0.137614679 0.033400777 0.032698365
TF PALADIN LNO 0.128440367 0.045990081 0.032826382
TF MTN Warrior SIGACT Manager 0.091743119 0.039942079 0.032708177
TF East JOC Watch 0.073394495 0.034323879 0.032722906
TF GUARDIAN 0.064220183 0.049139513 0.033115601

As you can see, the two central vertices are A SIGACTS MANAGER and CJTF-82, which are some managerial unit for significant activities (i.e., SIGACTS) and the Combined Joint Task Force 82. Both are important military units as their communication with others provides the proverbial glue to the organizational network.

My research is far from finished, but right now this initial shot at the data is just for play. If you’re interested in the edge list that I generated from the reports, drop me a line, I’d be happy to share.

Moot Conference

Based on the idea of holding moot court, I’m chairing a moot conference for my seminar on network governance.

Seven teams of three students are putting their own research to the scrutiny of their peers and the chair. They’ll have 20 minutes of talk time followed by 10 minutes of discussion by a rival team. The research topics range from the rags-to-riches network of young actors as burried in the IMDb to political affiliation networks in the German Bundestag.

I’ll see if I can keep you posted about the research itself. In any case, if you’re a student yourself and want to take my research seminar, put in a petition this fall. So far, it’s been great, but unfortunately it was just a trial balloon.

DIY: Research Grant

Let me show you the latest and greatest addition to my ambitiously designed research seminar:

That’s right, a little more than half a million research dollars fresh off the press, ready to be distributed to eagerly waiting students to use in their own groundbreaking research. At least that’s the hope.

And no, the bills are not real. Single-sided print only, about two thirds of a real-sized bill. What matters most is that these research dollars simulate the world out there where we have to write grants, do research, and publish it. None of which is cheap. That’s why I’m billing 1,000 bucks an hour for consulting.

Closing Triangles, Weaving Networks

This morning, I get an e-mail from a student concerning her search for literature for the term paper she is currently working on, pretty please and all. She specifically asks whether or not I would put her in contact to former students who have been working the same problem she’s trying to tackle. I cannot fight it, but laziness is the first thought coming to my mind. Why won’t she do as we teach, dig deep into the literature herself?

Before I answer her in more or less subtle manner to do the work on her own, pretty please myself, I realize that she’s actually the smart kid in the crowd. I’m not so much afraid of plagiarism, mainly because all that she wants is to be introduced officially. Closing triangles, weaving networks. She could have gone behind my back, exploring and exploiting all the cheats in the chest. But she didn’t. She’s about to work smart, not hard. Kudos. Looking forward to that term paper.

We’re Like a Herd of Buffalos: Connected on ColbertNation

Connected: The Surprising Power of Social Networks and How They Shape Our Lives, the latest publication of Nicolas Christakes and James Fowler, is taking over more and more bestseller list. The book is an easy read for the laymen who’s interested in social networks, though I still prefer Barabási’s Linked (2003) or Watts’ Six Degrees (2003) who offer a little more insight into networks in general.

Christakes and Fowler’s success builds on (social) network effects, somewhat in the sense of viral marketing. The book is simply gaining popularity with each one of us reading and talking about it. The latest proof of concept is Fowler’s brief appearance on ColbertNation, but watch for yourself:

References:

  • Barabási, A.-L. (2003). Linked: How Everything Is Connected to Everything Else and What It Means for Business, Science, and Everyday Life. Plume, New York, NY.
  • Watts, D. J. (2003). Six Degrees: The Science of a Connected Age. Norton, New York, NY.

Why Organizational Charts are Still Important

Here’s some food for thought: Organizational charts take on an important role in organizational change!

Why? Ask anyone to bring an organizational chart to the table and they’ll you that the chart focuses too much entirely on the boxes, that none of the most obvious lines are included, and that it is never up to date to begin with. All of it is true, of course. Still, organizational charts are important.

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Share the Flight: Network of German City-to-City Airline Routes

A major part of the scientific communication on networks remains on SOCNET Listserv. That’s where Barry Wellman just asked whether or not someone would be willing to share a database of city-to-city airline routes. Though he’s probably thinking of American routes, I do have a file of German city-to-city routes for Lufthansa that’s gonna be published in an upcoming book by Springer on social networks in tourism.

Continue reading ‘Share the Flight: Network of German City-to-City Airline Routes’